NWIPB OpenIR
Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model
Huang, Xiaotao; Ma, Li; Chen, Chunbo; Zhou, Huakun; Yao, Buqing; Ma, Zhen
2020
发表期刊PLANTS-BASEL
卷号9期号:8
摘要Sinadoxa corydalifoliais a perennial grass with considerable academic value as a rare species owing to habitat destruction and a narrow distribution. However, its distribution remains unclear. In this study, we predicted the distribution ofSinadoxa corydalifoliain the three-river region (the source of the Yangtze River, Yellow River, and Lancang River) under the context of climate change using the maximum entropy (MaxEnt) model. Under the current climate scenario, the suitable distribution mainly occurred in Yushu County and Nangqian County. The suitable distribution area ofSinadoxa corydalifoliacovered 3107 km(2), accounting for 0.57% of the three-river region. The mean diurnal air temperature range (Bio2), temperature seasonality (Bio4), and mean air temperature of the driest quarter (Bio9) contributed the most to the distribution model forSinadoxa corydalifolia, with a cumulative contribution of 81.4%. The highest suitability occurred when air temperature seasonality (Bio4) ranged from 6500 to 6900. The highest suitable mean air temperature of the driest quarter ranged from -5 to 0 degrees C. The highest suitable mean diurnal temperature (Bio2) ranged from 8.9 to 9.7 degrees C. In future (2041-2060) scenarios, the suitable distribution areas ofSinadoxa corydalifoliafrom high to low are as follows: representative concentration pathway (RCP)26 (6171 km(2)) > RCP45 (6017 km(2)) > RCP80 (4238 km(2)) > RCP60 (2505 km(2)). In future (2061-2080) scenarios, the suitable distribution areas ofSinadoxa corydalifoliafrom high to low are as follows: RCP26 (18,299 km(2)) > RCP60 (11,977 km(2)) > RCP45 (10,354 km(2)) > RCP80 (7539 km(2)). In general, the suitable distribution will increase in the future. The distribution area ofSinadoxa corydalifoliawill generally be larger under low CO(2)concentrations than under high CO(2)concentrations. This study will facilitate the development of appropriate conservation measures forSinadoxa corydalifoliain the three-river region.
关键词suitable distribution MaxEnt three-river region climate change environmental variable
文献类型期刊论文
条目标识符http://210.75.249.4/handle/363003/60281
专题中国科学院西北高原生物研究所
推荐引用方式
GB/T 7714
Huang, Xiaotao,Ma, Li,Chen, Chunbo,et al. Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model[J]. PLANTS-BASEL,2020,9(8).
APA Huang, Xiaotao,Ma, Li,Chen, Chunbo,Zhou, Huakun,Yao, Buqing,&Ma, Zhen.(2020).Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model.PLANTS-BASEL,9(8).
MLA Huang, Xiaotao,et al."Predicting the Suitable Geographical Distribution ofSinadoxa Corydalifoliaunder Different Climate Change Scenarios in the Three-River Region Using the MaxEnt Model".PLANTS-BASEL 9.8(2020).
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